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This book, the first of its kind, critically analyzes the conjunctions of 21st century food, faith and society. It aims to provide a fresh approach that theorizes the culinary sphere in its association with morality, identity, justice and the sublime. In a changing climate of food fads, diet plans, gastropolitics and fusion tastes, this edited volume interrogates, analyzes and critiques various situations in which food, the state, civil society, gender, race, and faith intersect and even transmute. Informed by emergent post-secularist views of religion(s) and novel approaches to twenty-first century forms of mobility and fixity, the book's primary aim is to ponder through ethnography the man...
Educational systems of the DRV and the RVN -- Social organizations in the DRV and the RVN -- Publication venues and policies in the DRV and the RVN and prevalent currents in publications -- Educational and social narratives through texts in the DRV
This edited volume assesses capabilities of data mining algorithms for spatial modeling of natural hazards in different countries based on a collection of essays written by experts in the field. The book is organized on different hazards including landslides, flood, forest fire, land subsidence, earthquake, and gully erosion. Chapters were peer-reviewed by recognized scholars in the field of natural hazards research. Each chapter provides an overview on the topic, methods applied, and discusses examples used. The concepts and methods are explained at a level that allows undergraduates to understand and other readers learn through examples. This edited volume is shaped and structured to provide the reader with a comprehensive overview of all covered topics. It serves as a reference for researchers from different fields including land surveying, remote sensing, cartography, GIS, geophysics, geology, natural resources, and geography. It also serves as a guide for researchers, students, organizations, and decision makers active in land use planning and hazard management.
Any organization worth its salt would have a thriving story to tell. The COVID-19 pandemic has brought incredibly disruptive challenges to organizations worldwide. Lest be labeled as wanting because of the magnitude of the problems that beset, business and educational organizations must take it upon themselves to discover and present to the world the novel management practices that arose out of the problems that these organizations have experienced. This book provides management cases that deal with the organization’s implicit challenges and, at the same time, the best practices that have positively affected the growth of the business or organizational enterprise. Educators and trainers of...
This book applies cost-benefit analysis techniques in the management of environment and natural resources in developing countries of the Southeast Asian region and presents a compendium of studies conducted by researchers supported by the Economy and Environment Program for Southeast Asia (EEPSEA). It emphasizes the close relationship between the environment and natural resources and economic development in such countries, addressing a wide range of problems that can be understood using economic evaluation techniques. General guidelines for conducting economic appraisals are provided, with the case studies illustrating how they can be applied in a developing country context. Cost-Benefit Analysis Application in Environmental and Natural Resource Management in Southeast Asia serves as essential reading for teachers, researchers, students and practitioners in environmental and natural resource economics, economic development and key issues facing policymakers in the Southeast Asian region.
As computer and space technologies have been developed, geoscience information systems (GIS) and remote sensing (RS) technologies, which deal with the geospatial information, have been rapidly maturing. Moreover, over the last few decades, machine learning techniques including artificial neural network (ANN), deep learning, decision tree, and support vector machine (SVM) have been successfully applied to geospatial science and engineering research fields. The machine learning techniques have been widely applied to GIS and RS research fields and have recently produced valuable results in the areas of geoscience, environment, natural hazards, and natural resources. This book is a collection representing novel contributions detailing machine learning techniques as applied to geoscience information systems and remote sensing.
At present, the intensification of global climate and environmental change has led to frequent occurrence of natural hazards. Various types of natural hazards always overlap and interact, or occur in a chain reaction, with a wide range of impacts and a long period of time, resulting in serious disaster losses. Typically, major earthquakes and geological hazards, extreme meteorological hazards, large-scale floods and droughts, marine disasters, and forest and grassland fires, as well as their compound and chained hazards are among the key factors affecting human life safety and world economic development. To better our understanding of disaster prevention, mitigation, and relief, it is thus p...